IJSDR Research Journal
International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)

Issue: October 2019

Volume 4 | Issue 10

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Unique Id: IJSDR1704123
Published In: Volume 2 Issue 4, April-2017
Abstract: In the current rail system, it is more necessary to have safety elements inorder to avoid accidents. One of the important causes that can provoke serious accidents is the existence of obstacles on the tracks either fixed or mobile and the cracks that are happened to the track. This project deals about one of the efficient methods to avoid train collision and obstacles detection and crack detection. This project aims for the detection of cracks in railway tracks, distance between the tracks and the presence of humans on railway tracks. The design of system consist a Global Position System (GPS) module, Global System for Mobile (GSM) modem, Infrared (IR) sensor and Passive Infrared (PIR) sensor. Now a days, the cracks in the railway track are measured by a high cost Linear variable differential transformer (LVDT) with a less accuracy. In proposed system, the IR sensors are used for detect the crack in the rail track, ultrasound sensors measure the distance between the two track and the PIR sensors are used to detect the presence of humans the track. If any cracks or obstacles are detected on the railway tracks or if any change in the distance between the two tracks, the longitude and latitude of the crack location is messaged to the nearest railway station using GPS and GSM modems. The proposed system is compared with the traditional measuring systems, where it stands as an efficient and cost effective system for railway applications.
Keywords: GPS module, GSM modem, IR sensor, PIR sensor, Ultrosonic distance meter.
Cite Article: "RAILWAY TRACK CRACK DETECTING ROBOT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 4, page no.639 - 642, April-2017, Available :http://www.ijsdr.org/papers/IJSDR1704123.pdf
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Publication Details: Published Paper ID: IJSDR1704123
Registration ID:170294
Published In: Volume 2 Issue 4, April-2017
DOI (Digital Object Identifier):
Page No: 639 - 642
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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